Update handler.py

handler.py

@@ -11,12 +11,6 @@ class EndpointHandler():
         self.classes_1 = ["RoadAccidents", "Fighting", "NormalVideos"]
         self.locations = ['Miami', 'Smouha', 'Mandara', 'Sporting', 'Montazah']
 
-    def preprocess_frame(self, frame):
-        frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
-        frame = cv2.resize(frame, (224, 224))
-        frame = frame.astype('float32') / 255.0
-        frame = np.expand_dims(frame, axis=0)
-        return frame
 
     def get_top_k(self, probs, k=1, label_map=None):
         if label_map is None:
@@ -28,8 +22,8 @@ class EndpointHandler():
         return top_labels[0]
 
     def perform_action_recognition(self, frame, k=1):
-        preprocessed_frame = self.preprocess_frame(frame)
-        outputs = self.model.signatures['serving_default'](image=preprocessed_frame)
+        
+        outputs = self.model.signatures['serving_default'](image=frame)
         probs = tf.nn.softmax(outputs['classifier_head_1'])
         return self.get_top_k(probs[0], k=k)